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Jun 11, 2021

A California Startup Now Offers a Full EV Battery in Just 10 Minutes

Posted by in categories: robotics/AI, sustainability, transportation

(Bloomberg) — On a Wednesday afternoon in May, an Uber driver in San Francisco was about to run out of charge on his Nissan Leaf. Normally this would mean finding a place to plug in and wait for a half hour, at least. But this Leaf was different.

Instead of plugging in, the driver pulled into a swapping station near Mission Bay, where a set of robot arms lifted the car off of the ground, unloaded the depleted batteries and replaced them with a fully charged set. Twelve minutes later the Leaf pulled away with 32 kilowatt hours of energy, enough to drive about 130 miles, for a cost of $13.

A swap like this is a rare event in the U.S. The Leaf’s replaceable battery is made by Ample, one of the only companies offering a service that’s more popular in markets in Asia. In March, Ample announced that it had deployed five stations around the Bay Area. Nearly 100 Uber drivers are using them, the company says, making an average of 1.3 swaps per day. Ample’s operation is tiny compared to the 100000 public EV chargers in the U.S.—not to mention the 150000 gas stations running more than a million nozzles. Yet Ample’s founders Khaled Hassounah and John de Souza are convinced that it’s only a matter of time before the U.S. discovers that swapping is a necessary part of the transition to electric vehicles.

Jun 11, 2021

Heres What 6G Will Be, According to the Creator of Massive MIMO

Posted by in categories: biotech/medical, habitats, internet, robotics/AI

COVID 19 pandemic, automation and 6G could end the metropolitan era from building high sky scrapers for companies. Companies can operate like a network from home to home without going to office. This will help a lot to bring down Urban Heat Islands and make our cities more efficient in transportation and communication to send the data even faster.

Tom Marzetta is the director of NYU Wireless, New York University’s research center for cutting-edge wireless technologies. Prior to joining NYU Wireless, Marzetta was at Nokia Bell Labs, where he developed massive MIMO. Massive MIMO (short for “multiple-input multiple-output”) allows engineers to pack dozens of small antennas into a single array. The high number of antennas means more signals can be sent and received at once, dramatically boosting a single cell tower’s efficiency.

Massive MIMO is becoming an integral part of 5G, as is an independent development that came out of NYU Wireless by the center’s founding director Ted Rappaport: Millimeter waves. And now the professors and students at NYU Wireless are already looking ahead to 6G and beyond.

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Jun 11, 2021

Giant arc stretching 3.3 billion light-years across the cosmos shouldnt exist

Posted by in category: space

Colossal arc of distant galaxies makes astronomers question some of their most cherished principles about the cosmos.

Jun 11, 2021

Messages scrambled by black holes stand their ground against quantum computers

Posted by in categories: cosmology, information science, quantum physics, robotics/AI

Featureless “cost functions” prevent quantum machine learning algorithms from reconstructing scrambled information.

Jun 11, 2021

Python infinity

Posted by in category: computing

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

Jun 11, 2021

South African worker honeybees reproduce

Posted by in categories: biotech/medical, genetics

A team of researchers from the University of Sydney, the ARC-Plant Protection Research Institute and York University, has found that workers in a species of honeybee found in South Africa reproduce by making near-perfect clones of themselves. In their paper published in Proceedings of the Royal Society B, the group describes their study of the bees and what they learned about them.

Prior research has found that some creatures reproduce through parthenogenesis, in which individuals reproduce without mating. This form of reproduction has the advantage of not wasting time and energy on mating and the gene pool remains undiluted. The downside, of course, is loss of genetic diversity, which helps species survive in changing conditions. Prior research has also shown that for most species, parthenogenesis is a less-than-perfect way to produce . This is because some tiny bit of genetic material is generally mixed wrong—these mistakes, known as recombinations, can lead to birth defects or non-productive eggs. In this new effort, the researchers have found a kind of honeybee that has developed a way to avoid recombinations.

The researchers found that South African Cape honeybee queens reproduce sexually, but the workers reproduce asexually. They then conducted a small experiment—they affixed tape to the reproductive organs of a queen, preventing males from mating with her, and then allowed both her and the worker bees in the same hive to reproduce asexually. They then tested the degree of recombination in both. They found that offspring of the queen had approximately 100 times as much recombination as the worker bees. Even more impressive, the offspring of the worker bees were found to be nearly identical clones of their parent. More testing showed that one line of worker bees in the hive had been cloning themselves for approximately 30 years—a clear sign that workers in the hive were not suffering from birth defects or an inability to produce viable offspring. It also showed that they have evolved a means for preventing recombination when they reproduce.

Jun 11, 2021

Researchers build first modular quantum brain sensor, record signal

Posted by in categories: biotech/medical, neuroscience, quantum physics

A team of scientists at the University of Sussex have for the first time built a modular quantum brain scanner, and used it to record a brain signal. This is the first time a brain signal has been detected using a modular quantum brain sensor anywhere in the world. It’s a major milestone for all researchers working on quantum brain imaging technology because modular sensors can be scaled up, like Lego bricks. The team have also connected two sensors like Lego bricks, proving that whole-brain scanning using this method is within reach—as detailed in their paper, which is published today in pre-print. This has not been possible with the currently commercially available quantum brain sensors from the United States.

These modular devices work like play bricks in that they can be connected together. This opens up the potential for whole– scanning using quantum technology, and potential advances for neurodegenerative diseases like Alzheimer’s.

The device, which was built at the Quantum Systems and Devices laboratory at the university, uses ultra-sensitive quantum to pick up these tiniest of magnetic fields to see inside the brain in order to map the neural activity.

Jun 11, 2021

Researchers observe sound-light pulses in 2D materials for the first time

Posted by in categories: computing, engineering, particle physics, quantum physics

Using an ultrafast transmission electron microscope, researchers from the Technion—Israel Institute of Technology have, for the first time, recorded the propagation of combined sound and light waves in atomically thin materials.

The experiments were performed in the Robert and Ruth Magid Electron Beam Quantum Dynamics Laboratory headed by Professor Ido Kaminer, of the Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and the Solid State Institute.

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Jun 11, 2021

Portable technology offers boost for nuclear security, arms control

Posted by in categories: engineering, physics, security

About five years ago, Areg Danagoulian, associate professor in the MIT Department of Nuclear Science and Engineering (NSE), became intrigued by a technique developed by researchers at Los Alamos National Laboratory that uses a neutron beam to identify unknown materials.

“They could look into a black box containing uranium and say what kind and how much,” says Danagoulian, who directs MIT’s Laboratory of Applied Nuclear Physics (LANPh). “I was thinking about the problem of verifying in warheads, and it just dawned on me, this amazing technology could be applied to what we’re working on.”

But there was a problem: This method, called resonance transmission analysis (NRTA), requires an enormous, expensive apparatus, limiting its utility for the kind of on-site nuclear material applications Danagoulian and his research colleagues focus on. To leapfrog this obstacle, they determined to make NRTA technology portable.

Jun 11, 2021

This Neural Networkfrom OpenAI can Learn from Small Datasets

Posted by in categories: mathematics, robotics/AI

Glow is an iconic interesting research about deep neural networks that can generalize with small training sets.


Since the early days of machine learning, artificial intelligence scenarios have faced with two big challenges in order to experience mainstream adoption. First, we have the data efficiency problem that requires machine or deep learning models to be trained using large and accurate datasets which, as we know, are really expensive to build and maintain. Secondly, we have the generalization problem which AI agents face in order to build new knowledge that is different from the training data. Humans, by contrast, are incredibly efficient learning with minimum supervision and rapidly generalizing knowledge from a few data examples.

Generative models are one of the deep learning disciplines that focuses on addressing the two challenges mentioned above. Conceptually, generative models are focused on observing an initial dataset, like a set of pictures, and try to learn how the data was generated. Using more mathematical terms, generative models try to infer all dependencies within very high-dimensional input data, usually specified in the form of a full joint probability distribution. Entire deep learning areas such as speech synthesis or semi-supervised learning are based on generative models. Recently, generative models such as generative adversarial networks(GANs) have become extremely popular within the deep learning community. Recently, OpenAI experimented with a not-very well-known technique called Flow-Based Generative Models in order to improve over existing methods.

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